Award Data

krtkl (“critical”) will conduct a Phase I Feasibility Study to identify the best approach for reducing aviator cognitive load by optimizing information delivery and decision-making based on a thorough analysis of existing platforms, sensors, data sources, and onboard compute resources. This information will be used to identify Artificial Intelligence and Machine Learning based algorithms for p ...

Existing airborne defense systems integrate a wide variety of sensors necessary to provide operators with situational awareness across the visual, thermal, signals, and electromagnetic spectrums. To date, individual sensor systems have been largely stove-piped, as have Artificial Intelligence/Machine Learning (AI/ML) and advanced, Size, Weight, and Power (SWaP)-optimized data processing systems. T ...

Sensor systems aboard aircrafts address unique problems and are siloed in their objectives. A data silo is a term used to describe a data system that is insulated from other data systems. While keeping information categorized may lead to easier organization, the costs often outweigh the benefits. In aviation systems, data silos often lead to miscommunication, cognitive overload, and waste. These d ...

In manned aviation environments – both military and commercial – AI support is being developed and researched for ground-based planning and operational decision support. Using AI in real-time with crews poses additional questions and issues. This research will provide the means to understand the measures and requirements to architect potential AI-Agent solutions before implementation. This fea ...

Assured Information Security, Inc. (AIS), in collaboration with Colorado State University (CSU) and the National Renewable Energy Laboratory (NREL), proposes a second (or sequential) Phase II of the Byte-Taint Resonance Imaging (ByteRI) STTR effort. This iteration of the ByteRI program will expand upon the binary analysis and program behavior analysis concepts identified in the original effort and ...

Critical minerals are essential components in many modern technologies used by modern society and the global economy. Finding new sources of critical materials depends on having accurate data regarding the geology of potential sites. The United States Geological Survey (USGS) has an extensive collection of geological maps containing detailed information about various geological features, such as r ...

Asymmetric proposes to develop software and firmware to optimize data exfil throughout Whisper devices. This includes making the Whisper system have additional, tuneable capabilities to increase LPI/LPD characteristics. The current methods utilized by Special Operations Forces (SOF) personnel to maintain secure, covert and reliable data transmission in hostile environments is difficult and mission ...

Artificial intelligence-assisted detection and imaging technology can gather data on underwater, surface, and aerial threats to gain situational awareness over opposing forces, and aids in navigating dangerous marine and terrestrial environments. Successful and efficient use of intel is crucial for strategic information warfare, but many current technologies require active monitoring to identify t ...

To support Next Generation Intelligence, Surveillance, Reconnaissance, and Situational Awareness applied research goals, Certus Group proposes the deployment of multiple Autonomous Underwater Vehicles (AUVs) in a meshed configuration to enable collaborative autonomous sensing on littoral targets of strategic interest in a GPS denied environment. In order to develop this capability, a number of tec ...

Increasing the energy of the electron beam striking an X-ray target can lead to higher electron to X-ray conversion efficiency. For a given electron beam energy, the conversion efficiency can be enhanced through various methods. Optimizing the electron beam parameters, such as beam current, pulse width, and repetition rate, can also improve the conversion efficiency. Choice of the X-ray target mat ...